Data Engineer

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not Specified

ElevenLabs is a research and product company at the forefront of Audio AI. Millions of users rely on ElevenLabs for tasks like reading articles, voiceovers, and voice restoration. Leading developers and enterprises utilize ElevenLabs to build Conversational AI agents for various applications. Founded in January 2023, ElevenLabs quickly launched its first human-like speech AI model and has since secured significant funding, valuing the company at $3.3 billion. We are a rapidly scaling, two-year-old company seeking individuals who are eager to work hard and make a substantial impact.

How We Work:

• High-velocity: We embrace rapid experimentation, lean autonomous teams, and minimal bureaucracy.
• Impact not job titles: We focus on the impact individuals make, not job titles. No task is considered too small or too significant.
• AI first: We leverage AI across all departments—from engineering to growth and operations—to enhance speed and quality.
• Excellence everywhere: Our commitment is to ensure the quality of everything we do matches the high standards of our AI models.
• Global team: We prioritize talent over geographical location.

What We Offer:

• Learning & Development: An annual discretionary stipend for professional development.
• Social Travel: An annual discretionary stipend to facilitate meetups with colleagues.
• Annual Company Offsite: The entire company convenes annually at a new location.
• Co-working: A monthly co-working stipend for employees not located near our main hubs.

About the Role

We are seeking an experienced Data Engineer to join our Core Platform team. In this role, you will be responsible for formalizing, optimizing, and scaling our data pipelines, establishing best practices, ensuring data quality, and enabling self-service data access for various teams.

Responsibilities

• Own and streamline data pipelines from ingestion to delivery, ensuring reliability, scalability, and efficiency.
• Implement and maintain dbt best practices, data standards, and quality controls.
• Build self-service tooling and create clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, etc.) to independently manage their data needs.

Requirements

While formal certifications or degrees are not mandatory, we are looking for demonstrated experience in formalizing and scaling data pipelines, ideally gained as an early data engineer in a growing team.

We require:

• Expert knowledge of dbt (required).
• Proficiency with tools across the modern data stack, including Python, SQL, and BI tools.
• Strong structured thinking abilities to simplify complex data into clear structures.
• The capacity to understand diverse stakeholder requirements and build generalized solutions.

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